Modelling Empty Container Repositioning Logistics (PDF)
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The book takes the inventory control perspective to tackle empty container repositioning logistics problems in regional transportation systems by explicitly considering the features such as demand imbalance over space, dynamic operations over time, uncertainty in demand and transport, and container leasing phenomenon. The book has the following unique features. First, it provides a discussion of broad empty equipment logistics including empty freight vehicle redistribution, empty passenger vehicle redistribution, empty bike repositioning, empty container chassis repositioning, and empty container repositioning (ECR) problems. The similarity and unique characteristics of ECR compared to other empty equipment repositioning problems are explained. Second, we adopt the stochastic dynamic programming approach to tackle the ECR problems, which offers an algorithmic strategy to characterize the optimal policy and captures the sequential decision-making phenomenon in anticipation of uncertainties over time and space. Third, we are able to establish closed-form solutions and structural properties of the optimal ECR policies in relatively simple transportation systems. Such properties can then be utilized to construct threshold-type ECR policies for more complicated transportation systems. In fact, the threshold-type ECR policies resemble the well-known (s, S) and (s, Q) policies in inventory control theory. These policies have the advantages of being decentralized, easy to understand, easy to operate, quick response to random events, and minimal on-line computation and communication. Fourth, several sophisticated optimization techniques such as approximate dynamic programming, simulation-based meta-heuristics, stochastic approximation, perturbation analysis, and ordinal optimization methods are introduced to solve the complex stochastic optimization problems.
The book will be of interest to researchers and professionals in logistics, transport, supply chain, and operations research.
Dr Jing-Xin Dong is a professor of Operations Management and Supply Chain Management at Newcastle University Business School, UK. His research interests include operations research, port and shipping management, intelligent logistics and transport, and GPS/GIS. He is an associate editor for IET Intelligent Transport System and a member of Editorial Board for European Management Journal. He has co-authored a chapter "Empty Container Repositioning" in the book "Handbook of Ocean Container Transport Logistics" published by Springer (ISBN 9783319118901). He has published papers in Transportation Research Part B/E/D, European Journal of Operational Research, International Journal of Production Economics, Annals of Operations Research, etc.
- Autoren: Dong-Ping Song , Jingxin Dong
- 2022, 1st ed. 2022, 166 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030933830
- ISBN-13: 9783030933838
- Erscheinungsdatum: 20.01.2022
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- Größe: 3.27 MB
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